Automated crack detection in civil infrastructure has emerged as a transformative tool in maintenance and safety assessment, utilising advanced deep learning techniques to identify and quantify ...

A study introduces an AI-powered attention-based model for the rapid detection of structural cracks in cross-sea bridges, significantly improving the accuracy and efficiency of maintenance operations.

(a) An illustrative map for Crack-Net, including the initial features, looping solver for data generation, model training, and prediction performance. (b) The Crack-Net architecture, which utilizes ...